Sökning: "Bayesian Reinforcement Learning"
Visar resultat 1 - 5 av 13 avhandlingar innehållade orden Bayesian Reinforcement Learning.
1. Sample Efficient Bayesian Reinforcement Learning
Sammanfattning : Artificial Intelligence (AI) has been an active field of research for over a century now. The research field of AI may be grouped into various tasks that are expected from an intelligent agent; two major ones being learning & inference and planning . LÄS MER
2. Reinforcement Learning and Dynamical Systems
Sammanfattning : This thesis concerns reinforcement learning and dynamical systems in finite discrete problem domains. Artificial intelligence studies through reinforcement learning involves developing models and algorithms for scenarios when there is an agent that is interacting with an environment. LÄS MER
3. Priors and uncertainty in reinforcement learning
Sammanfattning : Handling uncertainty is an important part of decision-making. Leveraging uncertainty for guiding exploration to discover higher rewards has been a standard approach for a long time, using both ad hoc and more principled approaches. LÄS MER
4. Computational Modeling of the Basal Ganglia : Functional Pathways and Reinforcement Learning
Sammanfattning : We perceive the environment via sensor arrays and interact with it through motor outputs. The work of this thesis concerns how the brain selects actions given the information about the perceived state of the world and how it learns and adapts these selections to changes in this environment. LÄS MER
5. Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits
Sammanfattning : Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. LÄS MER